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HIDDEN OBJECT RECONSTRUCTION FROM ACOUSTIC SLICES

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dc.contributor.authorParker, J.R.
dc.contributor.authorAttia, E.N.
dc.date.accessioned2008-05-08T18:41:41Z
dc.date.available2008-05-08T18:41:41Z
dc.date.computerscience1999-05-27
dc.date.issued1996-10-01
dc.description.abstractA method for reconstructing 3D models from cross-sectional seismic signals, which could be used in visualizing underground objects, is presented. The new algorithm starts with preprocessing the sonar images by thresholding, segmenting, contour finding, point sampling and then triangulating. The main objective of this algorithm was to produce the smoothest possible model for branching bodies taking into consideration that the slices might be far apart in reality and consequently a novel branching/interpolation technique was used that proved superior to existing methods and at the same time did not need involvement of the user at any stage. Seismic simulations have been used to test the algorithm and we succeeded in reconstructing the tomb of Tut Ankh Amen (An Egyptian Pharaoh) from simulated slices.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
dc.identifier.department1996-590-10
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30945
dc.identifier.urihttp://hdl.handle.net/1880/46438
dc.language.isoEng
dc.publisher.corporateUniversity of Calgary
dc.publisher.facultyScience
dc.subjectComputer Scienceeng
dc.titleHIDDEN OBJECT RECONSTRUCTION FROM ACOUSTIC SLICESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng

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